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Journal Abstract Search

413 related items for PubMed ID: 30870586

  • 1. A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.
    Liu Z, Fan J, Li M, Yan H, Hu Z, Huang P, Tian Y, Miao J, Dai J.
    Med Phys; 2019 May; 46(5):1972-1983. PubMed ID: 30870586
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  • 2. A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.
    Zhou J, Peng Z, Song Y, Chang Y, Pei X, Sheng L, Xu XG.
    J Appl Clin Med Phys; 2020 May; 21(5):26-37. PubMed ID: 32281254
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  • 3. The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.
    Guo H, Wang J, Xia X, Zhong Y, Peng J, Zhang Z, Hu W.
    Radiat Oncol; 2021 Jun 23; 16(1):113. PubMed ID: 34162410
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  • 5. Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique.
    Fan J, Wang J, Chen Z, Hu C, Zhang Z, Hu W.
    Med Phys; 2019 Jan 23; 46(1):370-381. PubMed ID: 30383300
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  • 7. A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.
    Sun Z, Xia X, Fan J, Zhao J, Zhang K, Wang J, Hu W.
    Med Phys; 2022 Mar 23; 49(3):1344-1356. PubMed ID: 35043971
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  • 10. Dosimetric comparisons of helical tomotherapy and step-and-shoot intensity-modulated radiotherapy in nasopharyngeal carcinoma.
    Lee TF, Fang FM, Chao PJ, Su TJ, Wang LK, Leung SW.
    Radiother Oncol; 2008 Oct 23; 89(1):89-96. PubMed ID: 18524401
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  • 11. Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.
    Shen Y, Tang X, Lin S, Jin X, Ding J, Shao M.
    Med Phys; 2024 Jan 23; 51(1):545-555. PubMed ID: 37748133
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  • 12. The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer.
    Qilin Z, Peng B, Ang Q, Weijuan J, Ping J, Hongqing Z, Bin D, Ruijie Y.
    J Appl Clin Med Phys; 2022 Jun 23; 23(6):e13583. PubMed ID: 35262273
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  • 13. A dosimetric evaluation on applying RTOG-based and CT/MRI-based delineation methods to brachial plexus in radiotherapy of nasopharyngeal carcinoma treated with helical tomotherapy.
    Li CH, Wu VW, Chiu G.
    Br J Radiol; 2019 Oct 23; 92(1102):20170881. PubMed ID: 29714086
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  • 15. Automatic IMRT treatment planning through fluence prediction and plan fine-tuning for nasopharyngeal carcinoma.
    Cai W, Ding S, Li H, Zhou X, Dou W, Zhou L, Song T, Li Y.
    Radiat Oncol; 2024 Mar 20; 19(1):39. PubMed ID: 38509540
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  • 16. Deep learning method for prediction of patient-specific dose distribution in breast cancer.
    Ahn SH, Kim E, Kim C, Cheon W, Kim M, Lee SB, Lim YK, Kim H, Shin D, Kim DY, Jeong JH.
    Radiat Oncol; 2021 Aug 17; 16(1):154. PubMed ID: 34404441
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  • 19. A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.
    Osman AFI, Tamam NM, Yousif YAM.
    J Appl Clin Med Phys; 2023 Sep 17; 24(9):e14015. PubMed ID: 37138549
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